Adherence to behaviours associated with the test, trace, and isolate system: An analysis using the Theoretical Domains Framework

Author:

Thorneloe RachaelORCID,Clarke ElaineORCID,Arden MadelynneORCID

Abstract

Background: The UK’s test, trace, and isolate system are key measures to reduce the impact and spread of the COVID-19. However, engagement with and adherence to guidance on testing, self-isolation, and providing details of contacts can be low and interventions are needed. This qualitative study aimed to identify the key factors affecting adherence to test, trace, and isolate behaviours using the Theoretical Domains Framework (TDF). Methods: We conducted six online focus groups between October 2020 and February 2021 with people living in Sheffield who came into close contact with others in work or social settings (N = 30). The focus groups explored capability, opportunity, and motivational barriers to adherence to test, trace, and isolate behaviours. Framework analysis was used to code the data into TDF domains. Results: There is a complex relationship between the factors affecting COVID-19 symptom identification, testing, and self-isolation. People who perceived significant barriers to testing and self-isolation were less likely to interpret potential symptoms as COVID-19, and perceiving barriers to self-isolation reduced the likelihood of requesting a test. Concerns about the negative consequences of self-isolation for themselves and others were common and also influenced willingness to pass on details of contacts. There was a lack of trust in the Test and Trace system, with people wanting further evidence of being at risk of infection. Conclusions: Communications and interventions to increase adherence to test, trace, and isolate strategies need to consider the interplay of these behaviours and their influences and target them collectively. Efforts to promote testing should focus on the range of barriers to self-isolation, especially increasing financial and practical support, and include new messaging to promote symptom identification.

Publisher

Center for Open Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3